Benchmarking of solar irradiance nowcast performance derived from all-sky imagers

被引:13
|
作者
Logothetis, Stavros-Andreas [1 ]
Salamalikis, Vasileios [1 ]
Wilbert, Stefan [2 ]
Remund, Jan [3 ]
Zarzalejo, Luis F. [4 ]
Xie, Yu [5 ]
Nouri, Bijan [2 ]
Ntavelis, Evangelos [6 ,7 ]
Nou, Julien [8 ]
Hendrikx, Niels [9 ]
Visser, Lennard [9 ]
Sengupta, Manajit [5 ]
Po, Mario [10 ]
Chauvin, Remi [11 ]
Grieu, Stephane [12 ]
Blum, Niklas [2 ]
van Sark, Wilfried [12 ]
Kazantzidis, Andreas [1 ]
机构
[1] Univ Patras, Phys Dept, Lab Atmospher Phys, Patras 26500, Greece
[2] German Aerosp Ctr DLR, Inst Solar Res, Paseo Almeria 73, Almeria 04001, Spain
[3] Meteotest, CH-3012 Bern, Switzerland
[4] CIEMAT Energy Dept, Renewable Energy Div, Av Complutense 40, Madrid 28040, Spain
[5] Natl Renewable Energy Lab, 1617 Cole Blvd, Golden, CO 80401 USA
[6] Swiss Fed Inst Technol, Comp Vis Lab, Sternwartstr 7, CH-8092 Zurich, Switzerland
[7] CSEM Ctr Alpnach, CH-6055 Alpnach, Dorf, Switzerland
[8] PROMES CNRS, F-66100 Perpignan, France
[9] Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8, NL-3584 CB Utrecht, Netherlands
[10] EKO Instruments Europe BV, NL-2521 AL The Hague, Netherlands
[11] PROMECA Ingn, 1 Rue Iles, F-38420 Domene, France
[12] Univ Perpignan, PROMES Lab Proc Mat & Solar Energy, F-66100 Perpignan, France
基金
荷兰研究理事会;
关键词
All -sky imagers; Benchmarking; Solar irradiance nowcasting; Forecasting; CLOUD-BASE HEIGHT; SHADOW CAMERA SYSTEM; CLASSIFICATION; RADIATION; NETWORK; SEGMENTATION; ALGORITHMS; PREDICTION; BENEFITS; FEATURES;
D O I
10.1016/j.renene.2022.08.127
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Fluctuations of the incoming solar irradiance impact the power generation from photovoltaic and concentrating solar thermal power plants. Accurate solar nowcasting becomes necessary to detect these sudden changes of generated power and to provide the desired information for optimal exploitation of solar systems. In the framework of the International Energy Agency's Photovoltaic Power Systems Program Task 16, a benchmarking exercise has been conducted relying on a bouquet of solar nowcasting methodologies by all-sky imagers (ASI). In this paper, four ASI systems nowcast the Global Horizontal Irradiance (GHI) with a time forecast ranging from 1 to 20 min during 28 days with variable cloud conditions spanning from September to November 2019 in southern Spain. All ASIs demonstrated their ability to accurately nowcast GHI, with RMSE ranging from 6.9% to 18.1%. Under cloudy conditions, all ASIs' nowcasts outperform the persistence models. Under clear skies, three ASIs are better than persistence. Discrepancies in the observed nowcasting performance become larger at increasing forecast horizons. The findings of this study highlight the feasibility of ASIs to reliably nowcast GHI at different sky conditions, time intervals and horizons. Such nowcasts can be used either to estimate solar power at distant times or detect sudden GHI fluctuations.
引用
收藏
页码:246 / 261
页数:16
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